Abstract Machine Learning (ML) and Deep Learning (DL) have achieved high success in
many textual, auditory, medical imaging, and visual recognition patterns. Concerning the …

The slime mould algorithm (SMA) is a population-based optimization algorithm that mimics
the foraging behavior of slime moulds with a simple structure and few hyperparameters …

Offloading assists in overcoming the resource constraints of specific elements, making it one
of the primary technical enablers of the Internet of Things (IoT). IoT devices with low battery …

The dawn of softwarized networks enables Network Slicing (NS) as an important technology
towards allocating end-to-end logical networks to facilitate diverse requirements of emerging …

The interaction between two factors significantly measures the results' exactness. But,
acquiring information for statistical computation is frequent, and the data obtained could be …

Abstract Software Defined Networking (SDN) is a new network architecture theoretical
framework, which based on the partition of the control plane and the data plane. Some of the …

Wireless sensor networks (WSNs) enable communication among sensor nodes and require
efficient energy management for optimal operation under various conditions. Key challenges …

In recent years, there has been a growing recognition among competent city developers and
researchers regarding the critical importance of integrating healthcare data analysis into …

The modern business landscape is characterized by complex technical information,
economic globalization, and high customer expectations. These factors have led to …

Expert assessments with pre-defined numerical or language terms can limit the scope of
decision-making models. We propose that decision-making models can incorporate expert …